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On the granularity of summative kernels

Kevin Loquin 1 Olivier Strauss 2
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper, we propose granularity as a new index to characterize the non-specificity of a summative kernel. This index is intended to reflect the behavior of a kernel in the usual signal processing applications. We show, in different experiments, that two kernels having the same granularity have very similar behavior. This granularity-based adaptation is compared to other adaptation methods. These experiments highlight the ability of the granularity index to measure the spreading and collecting properties of a summative kernel.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00299387
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Submitted on : Thursday, July 17, 2008 - 11:25:32 AM
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Kevin Loquin, Olivier Strauss. On the granularity of summative kernels. Fuzzy Sets and Systems, Elsevier, 2008, 159 (15), pp.1952-1972. ⟨lirmm-00299387⟩

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